Jin Dai
Impact in
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Surgery 35
- Hip disorders and treatments 11
- Total Knee Arthroplasty Outcomes 7
- Co-authors
- Andrew Churg (11 shared papers)Robert C. Baxter (6 shared papers)Qing Jiang (57 shared papers)Dongquan Shi (55 shared papers)Changshi Xie (5 shared papers)Hsin Tai (3 shared papers)H. Thomas Hahn (2 shared papers)Dongyang Chen (27 shared papers)
- Journals
- BioMed Research International (6 papers)Journal of Orthopaedic Surgery and Research (6 papers)Endocrinology (5 papers)PLoS ONE (5 papers)Blood Coagulation & Fibrinolysis (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Dai
158 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 154
- Internal Medicine 196
- Cancer Research 595
- Rheumatology 462
- Geriatrics and Gerontology 103
- Endocrinology, Diabetes and Metabolism 453
Countries citing papers authored by Jin Dai
This map shows the geographic impact of Jin Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Dai more than expected).
Fields of papers citing papers by Jin Dai
This network shows the impact of papers produced by Jin Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Dai. The network helps show where Jin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 310 | |
| 2 | 2002 | 270 | |
| 3 | 1994 | 155 | |
| 4 | 2019 | 150 | |
| 5 | 2006 | 127 | |
| 6 | 2001 | 125 | |
| 7 | 2003 | 95 | |
| 8 | 2017 | 91 | |
| 9 | 1992 | 89 | |
| 10 | 2010 | 85 | |
| 11 | 2008 | 84 | |
| 12 | 1994 | 76 | |
| 13 | 2014 | 71 | |
| 14 | 2015 | 70 | |
| 15 | 2013 | 70 | |
| 16 | 2011 | 62 | |
| 17 | 1994 | 62 | |
| 18 | 2014 | 56 | |
| 19 | 1994 | 54 | |
| 20 | 2015 | 53 |
About Jin Dai
Jin Dai is a scholar working on Surgery, Molecular Biology, Rheumatology, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 173 papers that have together received 4.2k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (18 papers), Venous Thromboembolism Diagnosis and Management (17 papers), Hip disorders and treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Occupational and environmental lung diseases (7 papers), Total Knee Arthroplasty Outcomes (7 papers), Occupational exposure and asthma (6 papers) and Atrial Fibrillation Management and Outcomes (6 papers). The work is most often cited by research in Internal Medicine (196 citations), Cancer Research (595 citations), Rheumatology (462 citations), Geriatrics and Gerontology (103 citations) and Endocrinology, Diabetes and Metabolism (453 citations). Jin Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Andrew Churg, Robert C. Baxter, Qing Jiang, Dongquan Shi, Changshi Xie, Hsin Tai, H. Thomas Hahn, Dongyang Chen, Zhihong Xu and Shiro Ikegawa. Their work appears in journals such as BioMed Research International, Journal of Orthopaedic Surgery and Research, Endocrinology, PLoS ONE and Blood Coagulation & Fibrinolysis.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.